Kamal Mohamed A, Smith Patrick F, Chaiyakunapruk Nathorn, Wu David B C, Pratoomsoot Chayanin, Lee Kenneth K C, Chong Huey Yi, Nelson Richard E, Nieforth Keith, Dall Georgina, Toovey Stephen, Kong David C M, Kamauu Aaron, Kirkpatrick Carl M, Rayner Craig R
Regeneron Pharmaceuticals, Tarrytown, New York, USA.
Roche Innovation Center, New York, New York, USA.
Br J Clin Pharmacol. 2017 Jul;83(7):1580-1594. doi: 10.1111/bcp.13229. Epub 2017 Feb 20.
A modular interdisciplinary platform was developed to investigate the economic impact of oseltamivir treatment by dosage regimen under simulated influenza pandemic scenarios.
The pharmacology module consisted of a pharmacokinetic distribution of oseltamivir carboxylate daily area under the concentration-time curve at steady state (simulated for 75 mg and 150 mg twice daily regimens for 5 days) and a pharmacodynamic distribution of viral shedding duration obtained from phase II influenza inoculation data. The epidemiological module comprised a susceptible, exposed, infected, recovered (SEIR) model to which drug effect on the basic reproductive number (R ), a measure of transmissibility, was linked by reduction of viral shedding duration. The number of infected patients per population of 100 000 susceptible individuals was simulated for a series of pandemic scenarios, varying oseltamivir dose, R (1.9 vs. 2.7), and drug uptake (25%, 50%, and 80%). The number of infected patients for each scenario was entered into the health economics module, a decision analytic model populated with branch probabilities, disease utility, costs of hospitalized patients developing complications, and case-fatality rates. Change in quality-adjusted life years was determined relative to base case.
Oseltamivir 75 mg relative to no treatment reduced the median number of infected patients, increased change in quality-adjusted life years by deaths averted, and was cost-saving under all scenarios; 150 mg relative to 75 mg was not cost effective in low transmissibility scenarios but was cost saving in high transmissibility scenarios.
This methodological study demonstrates proof of concept that the disciplines of pharmacology, disease epidemiology and health economics can be linked in a single quantitative framework.
开发了一个模块化跨学科平台,以研究在模拟流感大流行情况下按剂量方案使用奥司他韦治疗的经济影响。
药理学模块包括羧基奥司他韦稳态下浓度-时间曲线每日曲线下面积的药代动力学分布(模拟每日两次75毫克和150毫克方案,持续5天)以及从II期流感接种数据获得的病毒 shedding 持续时间的药效学分布。流行病学模块包括一个易感、暴露、感染、康复(SEIR)模型,通过减少病毒 shedding 持续时间将药物对基本繁殖数(R,一种传播性度量)的影响与之联系起来。针对一系列大流行情况,模拟了每100,000名易感个体中的感染患者数量,改变奥司他韦剂量、R(1.9对2.7)和药物摄取率(25%、50%和80%)。将每种情况的感染患者数量输入健康经济学模块,这是一个决策分析模型,其中填充了分支概率、疾病效用、住院患者发生并发症的成本和病死率。相对于基础病例确定质量调整生命年的变化。
与未治疗相比,75毫克奥司他韦减少了感染患者的中位数,通过避免死亡增加了质量调整生命年的变化,并且在所有情况下都节省了成本;与75毫克相比,150毫克在低传播性情况下不具有成本效益,但在高传播性情况下节省了成本。
这项方法学研究证明了药理学、疾病流行病学和健康经济学学科可以在一个单一的定量框架中联系起来的概念验证。